Base Station Planning Optimization Algorithm Based on Public Attitude
- Resource Type
- Conference
- Authors
- Liu, Yan-Ping; Guo, Wen-Zhong; Zhao, Fei-Long
- Source
- 2014 International Conference on Wireless Communication and Sensor Network Wireless Communication and Sensor Network (WCSN), 2014 International Conference on. :462-467 Dec, 2014
- Subject
- Computing and Processing
Planning
Monte Carlo methods
Bills of materials
Buildings
Histograms
Base stations
Long Term Evolution
base station planning
public attitude
Monte Carlo method
least cost path analysis
- Language
The problem of base station (BS) planning for TD-LTE network is studied in this paper. This method takes various factors into consideration according to the public attitude. The public attitude plays an important role in the process of BS planning. We choose the area where the network performance is the worst to build BS, according to public attitude, Monte Carlo method and least cost path analysis. The experience results show that after building a few BS, the network performance of planning area is generally good. The method has good application value.